Assay optimization: a statistical design of experiments approach.

With the transition from manual to robotic HTS in the last several years, assay optimization has become a significant bottleneck. Recent advances in robotic liquid handling have made it feasible to reduce assay optimization timelines with the application of statistically designed experiments. When implemented, they can efficiently optimize assays by rapidly identifying significant factors, complex interactions, and nonlinear responses. This article focuses on the use of statistically designed experiments in assay optimization.

[1]  O. Vitek,et al.  Statistical design of experiments as a tool in mass spectrometry. , 2005, Journal of mass spectrometry : JMS.

[2]  J. Farrés,et al.  Experimental design: a useful tool for PCR Optimization. , 1996, BioTechniques.

[3]  R. H. Myers,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[4]  W. Cushman,et al.  Use of the factorial design and quadratic response surface models to evaluate the fosinopril and hydrochlorothiazide combination therapy in hypertension. , 1997, American journal of hypertension.

[5]  Michael W. Lutz,et al.  Experimental design for high-throughput screening , 1996 .

[6]  D. Hawkins,et al.  Analysis of a 2(9) full factorial chemical library. , 1995, Journal of medicinal chemistry.

[7]  Karen L. Jensen.  Experimental Design in Biotechnology , 1991 .

[8]  Rajiv Kumar,et al.  Optimizing drug delivery systems using systematic "design of experiments." Part I: fundamental aspects. , 2005, Critical reviews in therapeutic drug carrier systems.

[9]  Sean T. Quinn,et al.  Automated Assay Optimization with Integrated Statistics and Smart Robotics , 2000, Journal of biomolecular screening.

[10]  W C Davis,et al.  Efficient optimization of ELISAs. , 1994, Journal of immunological methods.

[11]  V. Ganne,et al.  Application of statistical design of experiments to the optimization of factor VIII expression by CHO cells , 1991, Cytotechnology.

[12]  Gunnar Wrobel,et al.  Optimization of high-density cDNA-microarray protocols by 'design of experiments'. , 2003, Nucleic acids research.

[13]  R Fisher,et al.  Design of Experiments , 1936 .

[14]  J. Sim,et al.  Optimizing conditions for the growth of Lactobacillus casei YIT 9018 in tryptone-yeast extract-glucose medium by using response surface methodology , 1995, Applied and environmental microbiology.